Dynamic Asset Correlation Recalculation via Reliability Scoring

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Solution Overview

Problem

Existing asset management systems struggle to maintain accurate correlations between assets across multiple management domains, especially when information is gathered from multiple sources and changes over time, leading to potential security risks and inefficiencies.

Innovation Solution

A system and method that dynamically recalculate correlations by detecting faulty reference values in digital asset-descriptors, computing new descriptors, and executing management operations using these new descriptors, thereby reducing the risk of over-correlation and enhancing cybersecurity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If full recalculation of all asset correlations is performed to maintain accuracy, then reliability of asset representations is improved, but computing resources and time consumption increase significantly

Engineering Contradiction:

Improveaccuracy of asset correlationsVSAvoidcomputing resource efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent segments the asset correlation system into individual asset descriptors, each with its own reliability score. Instead of treating all correlations as a single unit requiring full recalculation, the system divides correlations into discrete, independently scorable components. This allows selective recalculation of only those segments (asset descriptors) that fall below reliability thresholds, rather than recalculating the entire correlation set.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by calculating reliability scores for individual asset descriptors and selectively recalculating only those that require correction. The system performs exactly the amount of recalculation needed - no more, no less - by identifying and processing only the subset of asset descriptors with reliability scores below thresholds, thereby avoiding excessive full-system recalculation while maintaining necessary accuracy.

Inventive Principle:

Principle #16Partial or excessive action

2Productivity

If selective recalculation of only faulty asset descriptors is performed, then computing resources are reduced, but risk of missing faulty correlations increases

Engineering Contradiction:

Improvecomputing resource efficiencyVSAvoidcompleteness of fault detection

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms through reliability scores that continuously monitor and evaluate the quality of asset descriptor correlations. The system calculates reliability scores based on multiple data sources and comparison criteria, then uses these scores as feedback to determine which asset descriptors require recalculation. This closed-loop feedback ensures that faulty correlations are systematically identified and corrected without requiring exhaustive full-system recalculation.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent applies preliminary action by calculating reliability scores for all asset descriptors before selecting which ones require recalculation. This preliminary evaluation step identifies potential faults in advance, allowing the system to target only the specific asset descriptors that need correction. The preliminary reliability scoring acts as a filtering mechanism that prepares the system for efficient, accurate selective recalculation.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If multiple data sources are integrated to improve correlation accuracy, then reliability of asset data is improved, but complexity of the management system increases

Engineering Contradiction:

Improveaccuracy of asset correlationsVSAvoidsystem architecture complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies universality by creating a standardized reliability scoring mechanism that works across multiple data sources and asset types. The same reliability score calculation and comparison logic is universally applied to all asset descriptors regardless of their source or type. This universal approach allows the system to integrate multiple data sources without creating separate complex processing paths for each source, thereby maintaining reliability while controlling complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12327107B1Dynamic endpoint matching in asset management system

Publication Date: 2025.06.10 AXONIUS SOLUTIONS LTD

AI summary

A method for managing assets in a computerized system comprises dynamically recalculating correlations when data changes. The method involves detecting faulty reference values in digital asset-descriptors by computing reliability scores for attribute values used in creating the asset-descriptors. When a reliability score falls below a threshold, the corresponding attribute value is identified as a faulty reference value. The method then selects faulty digital asset-descriptors created based on the faulty reference value, computes new digital asset-descriptors using the faulty ones, and executes management operations using the new asset-descriptors.